training data EDA

Dataset statistics

Number of variables	39
Number of observations	5922
Missing cells	4935
Missing cells (%)	2.1%
Duplicate rows	17
Duplicate rows (%)	0.3%
Total size in memory	1.6 MiB
Average record size in memory	281.0 B

Variable types

Categorical	21
Numeric	15
Text	1
DateTime	1
Boolean	1

Alerts

Dataset has 17 (0.3%) duplicate rows	Duplicates
`Basic Delivery` is highly overall correlated with `Basic Price` and 2 other fields	High correlation
`Basic Price` is highly overall correlated with `Basic Delivery` and 3 other fields	High correlation
`Basic Revision` is highly overall correlated with `Premium Revision` and 1 other fields	High correlation
`Category` is highly overall correlated with `Field`	High correlation
`Field` is highly overall correlated with `Category`	High correlation
`Premium Delivery` is highly overall correlated with `Basic Delivery` and 3 other fields	High correlation
`Premium Price` is highly overall correlated with `Basic Price` and 3 other fields	High correlation
`Premium Revision` is highly overall correlated with `Basic Revision` and 1 other fields	High correlation
`Standard Delivery` is highly overall correlated with `Basic Delivery` and 4 other fields	High correlation
`Standard Price` is highly overall correlated with `Basic Price` and 3 other fields	High correlation
`Standard Revision` is highly overall correlated with `Basic Revision` and 1 other fields	High correlation
`Arabic` is highly imbalanced (74.3%)	Imbalance
`Bengali` is highly imbalanced (73.3%)	Imbalance
`Chinese` is highly imbalanced (86.9%)	Imbalance
`Dutch` is highly imbalanced (88.5%)	Imbalance
`English` is highly imbalanced (92.4%)	Imbalance
`Hebrew` is highly imbalanced (91.1%)	Imbalance
`Hindi` is highly imbalanced (55.0%)	Imbalance
`Indonesian` is highly imbalanced (89.4%)	Imbalance
`Italian` is highly imbalanced (73.0%)	Imbalance
`Portuguese` is highly imbalanced (82.2%)	Imbalance
`Punjabi` is highly imbalanced (85.4%)	Imbalance
`Russian` is highly imbalanced (77.7%)	Imbalance
`Turkish` is highly imbalanced (90.3%)	Imbalance
`Ukrainian` is highly imbalanced (86.1%)	Imbalance
`Rating` has 104 (1.8%) missing values	Missing
`Member Since` has 1571 (26.5%) missing values	Missing
`Avg Response Time` has 1685 (28.5%) missing values	Missing
`Last Delivery` has 1574 (26.6%) missing values	Missing
`Basic Price` is highly skewed (γ1 = 20.51586071)	Skewed
`Basic Revision` has 1114 (18.8%) zeros	Zeros
`Standard Revision` has 1031 (17.4%) zeros	Zeros
`Premium Revision` has 1281 (21.6%) zeros	Zeros
`Last Delivery` has 1273 (21.5%) zeros	Zeros
`Order in Queue` has 3761 (63.5%) zeros	Zeros

Reproduction

Analysis started	2024-05-27 15:22:30.802695
Analysis finished	2024-05-27 15:23:09.513040
Duration	38.71 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

Category
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

Music & Audio	734
Programming & Tech	722
Business	719
Data	641
Lifestyle	631
Other values (5)	2475

Length

Max length	21
Median length	17
Mean length	13.288416
Min length	4

Characters and Unicode

Total characters	78694
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Data
2nd row	Data
3rd row	Data
4th row	Data
5th row	Data

Common Values

Value	Count	Frequency (%)
Music & Audio	734	12.4%
Programming & Tech	722	12.2%
Business	719	12.1%
Data	641	10.8%
Lifestyle	631	10.7%
Writing & Translation	551	9.3%
Graphics & Design	545	9.2%
Video & Animation	514	8.7%
Digital Marketing	512	8.6%
Photography	353	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	3066	24.4%
music	734	5.8%
audio	734	5.8%
programming	722	5.7%
tech	722	5.7%
business	719	5.7%
data	641	5.1%
lifestyle	631	5.0%
translation	551	4.4%
writing	551	4.4%
Other values (7)	3495	27.8%

Most occurring characters

Value	Count	Frequency (%)
i	9361	11.9%
	6644	8.4%
a	5542	7.0%
n	5179	6.6%
s	5163	6.6%
e	4274	5.4%
t	4265	5.4%
r	3956	5.0%
g	3917	5.0%
o	3741	4.8%
Other values (21)	26652	33.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78694	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	9361	11.9%
	6644	8.4%
a	5542	7.0%
n	5179	6.6%
s	5163	6.6%
e	4274	5.4%
t	4265	5.4%
r	3956	5.0%
g	3917	5.0%
o	3741	4.8%
Other values (21)	26652	33.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78694	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	9361	11.9%
	6644	8.4%
a	5542	7.0%
n	5179	6.6%
s	5163	6.6%
e	4274	5.4%
t	4265	5.4%
r	3956	5.0%
g	3917	5.0%
o	3741	4.8%
Other values (21)	26652	33.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78694	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	9361	11.9%
	6644	8.4%
a	5542	7.0%
n	5179	6.6%
s	5163	6.6%
e	4274	5.4%
t	4265	5.4%
r	3956	5.0%
g	3917	5.0%
o	3741	4.8%
Other values (21)	26652	33.9%

Field
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

video-editing	190
articles-blogposts	189
mixing-mastering	188
social-media-design	186
game-development	185
Other values (30)	4984

Length

Max length	29
Median length	20
Mean length	15.881966
Min length	5

Characters and Unicode

Total characters	94053
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	data-engineering
2nd row	data-engineering
3rd row	data-engineering
4th row	data-engineering
5th row	data-engineering

Common Values

Value	Count	Frequency (%)
video-editing	190	3.2%
articles-blogposts	189	3.2%
mixing-mastering	188	3.2%
social-media-design	186	3.1%
game-development	185	3.1%
producers	185	3.1%
financial-consulting-services	185	3.1%
software-development	185	3.1%
game-art	184	3.1%
business-plans	184	3.1%
Other values (25)	4061	68.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
video-editing	190	3.2%
articles-blogposts	189	3.2%
mixing-mastering	188	3.2%
social-media-design	186	3.1%
game-development	185	3.1%
producers	185	3.1%
financial-consulting-services	185	3.1%
software-development	185	3.1%
business-plans	184	3.1%
game-art	184	3.1%
Other values (25)	4061	68.6%

Most occurring characters

Value	Count	Frequency (%)
e	11199	11.9%
s	8804	9.4%
i	8530	9.1%
a	7211	7.7%
n	7138	7.6%
t	6486	6.9%
-	6181	6.6%
o	5615	6.0%
r	4616	4.9%
g	4050	4.3%
Other values (15)	24223	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	94053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11199	11.9%
s	8804	9.4%
i	8530	9.1%
a	7211	7.7%
n	7138	7.6%
t	6486	6.9%
-	6181	6.6%
o	5615	6.0%
r	4616	4.9%
g	4050	4.3%
Other values (15)	24223	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	94053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11199	11.9%
s	8804	9.4%
i	8530	9.1%
a	7211	7.7%
n	7138	7.6%
t	6486	6.9%
-	6181	6.6%
o	5615	6.0%
r	4616	4.9%
g	4050	4.3%
Other values (15)	24223	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	94053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11199	11.9%
s	8804	9.4%
i	8530	9.1%
a	7211	7.7%
n	7138	7.6%
t	6486	6.9%
-	6181	6.6%
o	5615	6.0%
r	4616	4.9%
g	4050	4.3%
Other values (15)	24223	25.8%

Seller Level
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

1	1662
2	1538
3	1468
4	1254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Most occurring characters

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	1662	28.1%
2	1538	26.0%
3	1468	24.8%
4	1254	21.2%

Seller In Same Level
Real number (ℝ)

Distinct	117
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6237.7379

Minimum	1
Maximum	120000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.4 KiB

Quantile statistics

Minimum	1
5-th percentile	38
Q1	329
median	1100
Q3	5500
95-th percentile	33000
Maximum	120000
Range	119999
Interquartile range (IQR)	5171

Descriptive statistics

Standard deviation	15193.97
Coefficient of variation (CV)	2.4358142
Kurtosis	27.200425
Mean	6237.7379
Median Absolute Deviation (MAD)	974
Skewness	4.7601049
Sum	36939884
Variance	2.3085674 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	226	3.8%
2800	183	3.1%
2000	133	2.2%
313	130	2.2%
8900	96	1.6%
2200	95	1.6%
1800	94	1.6%
2700	94	1.6%
12000	93	1.6%
606	92	1.6%
Other values (107)	4686	79.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	2	< 0.1%
7	7	0.1%
9	9	0.2%
18	20	0.3%
22	24	0.4%
23	68	1.1%
25	26	0.4%
27	27	0.5%
32	32	0.5%

Value	Count	Frequency (%)
120000	47	0.8%
75000	46	0.8%
53000	48	0.8%
50472	48	0.8%
44000	48	0.8%
41000	46	0.8%
33000	48	0.8%
26000	48	0.8%
23000	46	0.8%
19000	45	0.8%

Basic Price
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	259
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.54156

Minimum	3.24
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	3.24
5-th percentile	5
Q1	15
median	40
Q3	100
95-th percentile	400
Maximum	20000
Range	19996.76
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	572.93752
Coefficient of variation (CV)	4.3227009
Kurtosis	583.34659
Mean	132.54156
Median Absolute Deviation (MAD)	30
Skewness	20.515861
Sum	784911.13
Variance	328257.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	692	11.7%
5	495	8.4%
100	422	7.1%
30	376	6.3%
15	338	5.7%
50	326	5.5%
20	311	5.3%
25	243	4.1%
150	192	3.2%
40	167	2.8%
Other values (249)	2360	39.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.24	6	0.1%
4.48	44	0.7%
5	495	8.4%
6.49	2	< 0.1%
8.95	59	1.0%
8.96	1	< 0.1%
9.73	1	< 0.1%
10	692	11.7%
13.44	33	0.6%
15	338	5.7%

Value	Count	Frequency (%)
20000	2	< 0.1%
11400	1	< 0.1%
10529.63	1	< 0.1%
10000	2	< 0.1%
9248.15	1	< 0.1%
7500	1	< 0.1%
6500	1	< 0.1%
4500	1	< 0.1%
4000	4	0.1%
3800	1	< 0.1%

Standard Price
Real number (ℝ)

HIGH CORRELATION

Distinct	393
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	275.41253

Minimum	3.24
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	3.24
5-th percentile	10
Q1	35.82
median	89.56
Q3	200
95-th percentile	990
Maximum	20000
Range	19996.76
Interquartile range (IQR)	164.18

Descriptive statistics

Standard deviation	867.33119
Coefficient of variation (CV)	3.1492075
Kurtosis	185.7167
Mean	275.41253
Median Absolute Deviation (MAD)	64.56
Skewness	11.306609
Sum	1630993
Variance	752263.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	356	6.0%
20	263	4.4%
100	243	4.1%
30	235	4.0%
10	233	3.9%
150	227	3.8%
25	226	3.8%
40	202	3.4%
15	195	3.3%
200	182	3.1%
Other values (383)	3560	60.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.24	1	< 0.1%
4.48	8	0.1%
5	79	1.3%
6.49	2	< 0.1%
8.95	23	0.4%
8.96	1	< 0.1%
9.73	3	0.1%
10	233	3.9%
12.98	1	< 0.1%
13.44	20	0.3%

Value	Count	Frequency (%)
20000	2	< 0.1%
18496.3	1	< 0.1%
15581.48	1	< 0.1%
15000	1	< 0.1%
12000	1	< 0.1%
11400	1	< 0.1%
10670.37	1	< 0.1%
10000	2	< 0.1%
9750	1	< 0.1%
8000	2	< 0.1%

Premium Price
Real number (ℝ)

HIGH CORRELATION

Distinct	489
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	506.82098

Minimum	3.24
Maximum	35566.67
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	3.24
5-th percentile	17.91
Q1	60
median	150
Q3	360
95-th percentile	1904.75
Maximum	35566.67
Range	35563.43
Interquartile range (IQR)	300

Descriptive statistics

Standard deviation	1560.4839
Coefficient of variation (CV)	3.0789647
Kurtosis	145.75613
Mean	506.82098
Median Absolute Deviation (MAD)	105.22
Skewness	9.7935548
Sum	3001393.9
Variance	2435110.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	365	6.2%
50	237	4.0%
200	220	3.7%
150	217	3.7%
30	167	2.8%
300	156	2.6%
250	150	2.5%
500	143	2.4%
60	140	2.4%
20	138	2.3%
Other values (479)	3989	67.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.24	1	< 0.1%
4.48	8	0.1%
5	79	1.3%
6.49	1	< 0.1%
8.95	9	0.2%
10	71	1.2%
12.98	3	0.1%
13.44	10	0.2%
15	113	1.9%
16.22	1	< 0.1%

Value	Count	Frequency (%)
35566.67	2	< 0.1%
29307.41	1	< 0.1%
20000	6	0.1%
15000	3	0.1%
14229.63	2	< 0.1%
13659.26	1	< 0.1%
13500	1	< 0.1%
12000	1	< 0.1%
11400	1	< 0.1%
10800	1	< 0.1%

Basic Delivery
Real number (ℝ)

HIGH CORRELATION

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2951706

Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	14
Maximum	90
Range	89
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	5.494313
Coefficient of variation (CV)	1.2791839
Kurtosis	53.835776
Mean	4.2951706
Median Absolute Deviation (MAD)	1
Skewness	5.5233996
Sum	25436
Variance	30.187475
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
2	1447	24.4%
1	1235	20.9%
3	1223	20.7%
7	521	8.8%
5	498	8.4%
4	361	6.1%
10	211	3.6%
14	179	3.0%
30	92	1.6%
6	73	1.2%
Other values (5)	82	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1235	20.9%
2	1447	24.4%
3	1223	20.7%
4	361	6.1%
5	498	8.4%
6	73	1.2%
7	521	8.8%
10	211	3.6%
14	179	3.0%
21	69	1.2%

Value	Count	Frequency (%)
90	4	0.1%
60	3	0.1%
45	5	0.1%
30	92	1.6%
29	1	< 0.1%
21	69	1.2%
14	179	3.0%
10	211	3.6%
7	521	8.8%
6	73	1.2%

Standard Delivery
Real number (ℝ)

HIGH CORRELATION

Distinct	17
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3069909

Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	21
Maximum	90
Range	89
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	7.3559566
Coefficient of variation (CV)	1.1663179
Kurtosis	25.656314
Mean	6.3069909
Median Absolute Deviation (MAD)	2
Skewness	4.0918156
Sum	37350
Variance	54.110098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	1106	18.7%
2	1006	17.0%
5	777	13.1%
7	709	12.0%
4	613	10.4%
1	453	7.6%
10	381	6.4%
14	324	5.5%
6	184	3.1%
30	161	2.7%
Other values (7)	208	3.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	453	7.6%
2	1006	17.0%
3	1106	18.7%
4	613	10.4%
5	777	13.1%
6	184	3.1%
7	709	12.0%
10	381	6.4%
14	324	5.5%
15	2	< 0.1%

Value	Count	Frequency (%)
90	4	0.1%
75	2	< 0.1%
60	17	0.3%
45	24	0.4%
30	161	2.7%
29	1	< 0.1%
21	158	2.7%
15	2	< 0.1%
14	324	5.5%
10	381	6.4%

Premium Delivery
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.2051672

Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	10
95-th percentile	30
Maximum	90
Range	89
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	11.406506
Coefficient of variation (CV)	1.2391417
Kurtosis	18.223261
Mean	9.2051672
Median Absolute Deviation (MAD)	3
Skewness	3.6885772
Sum	54513
Variance	130.10838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7	966	16.3%
3	829	14.0%
5	742	12.5%
10	589	9.9%
2	532	9.0%
4	498	8.4%
14	457	7.7%
1	353	6.0%
30	352	5.9%
6	231	3.9%
Other values (9)	373	6.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	353	6.0%
2	532	9.0%
3	829	14.0%
4	498	8.4%
5	742	12.5%
6	231	3.9%
7	966	16.3%
8	2	< 0.1%
10	589	9.9%
14	457	7.7%

Value	Count	Frequency (%)
90	35	0.6%
75	9	0.2%
60	43	0.7%
45	63	1.1%
30	352	5.9%
29	1	< 0.1%
28	1	< 0.1%
21	218	3.7%
20	1	< 0.1%
14	457	7.7%

Basic Revision
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5829112

Minimum	-1
Maximum	100
Zeros	1114
Zeros (%)	18.8%
Negative	2340
Negative (%)	39.5%
Memory size	69.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	0
Q3	1
95-th percentile	3
Maximum	100
Range	101
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	10.952275
Coefficient of variation (CV)	6.9190714
Kurtosis	75.265824
Mean	1.5829112
Median Absolute Deviation (MAD)	1
Skewness	8.699978
Sum	9374
Variance	119.95234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
-1	2340	39.5%
1	1147	19.4%
0	1114	18.8%
2	710	12.0%
3	352	5.9%
5	111	1.9%
100	71	1.2%
4	44	0.7%
9	17	0.3%
6	8	0.1%
Other values (2)	8	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2340	39.5%
0	1114	18.8%
1	1147	19.4%
2	710	12.0%
3	352	5.9%
4	44	0.7%
5	111	1.9%
6	8	0.1%
7	5	0.1%
8	3	0.1%

Value	Count	Frequency (%)
100	71	1.2%
9	17	0.3%
8	3	0.1%
7	5	0.1%
6	8	0.1%
5	111	1.9%
4	44	0.7%
3	352	5.9%
2	710	12.0%
1	1147	19.4%

Standard Revision
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8593381

Minimum	-1
Maximum	100
Zeros	1031
Zeros (%)	17.4%
Negative	2340
Negative (%)	39.5%
Memory size	69.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	0
Q3	2
95-th percentile	5
Maximum	100
Range	101
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	10.980828
Coefficient of variation (CV)	5.9057729
Kurtosis	73.59006
Mean	1.8593381
Median Absolute Deviation (MAD)	1
Skewness	8.5595563
Sum	11011
Variance	120.57859
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
-1	2340	39.5%
0	1031	17.4%
2	887	15.0%
1	668	11.3%
3	484	8.2%
5	218	3.7%
4	117	2.0%
100	71	1.2%
9	37	0.6%
6	31	0.5%
Other values (2)	38	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2340	39.5%
0	1031	17.4%
1	668	11.3%
2	887	15.0%
3	484	8.2%
4	117	2.0%
5	218	3.7%
6	31	0.5%
7	24	0.4%
8	14	0.2%

Value	Count	Frequency (%)
100	71	1.2%
9	37	0.6%
8	14	0.2%
7	24	0.4%
6	31	0.5%
5	218	3.7%
4	117	2.0%
3	484	8.2%
2	887	15.0%
1	668	11.3%

Premium Revision
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9167511

Minimum	-1
Maximum	100
Zeros	1281
Zeros (%)	21.6%
Negative	2340
Negative (%)	39.5%
Memory size	69.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	0
Q3	2
95-th percentile	5
Maximum	100
Range	101
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	11.009446
Coefficient of variation (CV)	5.7438057
Kurtosis	72.620937
Mean	1.9167511
Median Absolute Deviation (MAD)	1
Skewness	8.4793511
Sum	11351
Variance	121.2079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
-1	2340	39.5%
0	1281	21.6%
2	631	10.7%
3	583	9.8%
1	456	7.7%
5	254	4.3%
4	136	2.3%
100	71	1.2%
9	66	1.1%
7	42	0.7%
Other values (2)	62	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2340	39.5%
0	1281	21.6%
1	456	7.7%
2	631	10.7%
3	583	9.8%
4	136	2.3%
5	254	4.3%
6	37	0.6%
7	42	0.7%
8	25	0.4%

Value	Count	Frequency (%)
100	71	1.2%
9	66	1.1%
8	25	0.4%
7	42	0.7%
6	37	0.6%
5	254	4.3%
4	136	2.3%
3	583	9.8%
2	631	10.7%
1	456	7.7%

Rating
Real number (ℝ)

MISSING

Distinct	20
Distinct (%)	0.3%
Missing	104
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.9345308

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4.8
Q1	4.9
median	5
Q3	5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.19144177
Coefficient of variation (CV)	0.038796348
Kurtosis	242.14932
Mean	4.9345308
Median Absolute Deviation (MAD)	0
Skewness	-13.293237
Sum	28709.1
Variance	0.036649952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
5	3595	60.7%
4.9	1599	27.0%
4.8	390	6.6%
4.7	121	2.0%
4.6	32	0.5%
4.5	21	0.4%
4.3	16	0.3%
4	11	0.2%
1	7	0.1%
4.4	6	0.1%
Other values (10)	20	0.3%
(Missing)	104	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	0.1%
1.7	1	< 0.1%
2.8	1	< 0.1%
3	4	0.1%
3.2	2	< 0.1%
3.3	1	< 0.1%
3.5	1	< 0.1%
3.7	1	< 0.1%
3.8	1	< 0.1%
4	11	0.2%

Value	Count	Frequency (%)
5	3595	60.7%
4.9	1599	27.0%
4.8	390	6.6%
4.7	121	2.0%
4.6	32	0.5%
4.5	21	0.4%
4.4	6	0.1%
4.3	16	0.3%
4.2	4	0.1%
4.1	4	0.1%

Rating Count
Real number (ℝ)

Distinct	912
Distinct (%)	15.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	207.65983

Minimum	1
Maximum	12860
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	13
median	40
Q3	155.75
95-th percentile	881.95
Maximum	12860
Range	12859
Interquartile range (IQR)	142.75

Descriptive statistics

Standard deviation	616.94596
Coefficient of variation (CV)	2.9709452
Kurtosis	138.40624
Mean	207.65983
Median Absolute Deviation (MAD)	35
Skewness	9.6146205
Sum	1229761.5
Variance	380622.32
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	198	3.3%
2	177	3.0%
3	174	2.9%
5	139	2.3%
4	118	2.0%
7	106	1.8%
12	100	1.7%
11	99	1.7%
6	95	1.6%
15	93	1.6%
Other values (902)	4623	78.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	198	3.3%
2	177	3.0%
3	174	2.9%
4	118	2.0%
5	139	2.3%
6	95	1.6%
7	106	1.8%
8	82	1.4%
9	73	1.2%
9.5	2	< 0.1%

Value	Count	Frequency (%)
12860	1	< 0.1%
12396	1	< 0.1%
11201	1	< 0.1%
10938	1	< 0.1%
10732	1	< 0.1%
9729	1	< 0.1%
8847	1	< 0.1%
8792	1	< 0.1%
5971	1	< 0.1%
5961	1	< 0.1%

Country
Text

Distinct	113
Distinct (%)	1.9%
Missing	1
Missing (%)	< 0.1%
Memory size	92.5 KiB

Length

Max length	22
Median length	19
Mean length	8.7098463
Min length	4

Characters and Unicode

Total characters	51571
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.3%

Sample

1st row	Pakistan
2nd row	Pakistan
3rd row	Pakistan
4th row	United States
5th row	United Kingdom

Value	Count	Frequency (%)
pakistan	1441	19.8%
united	1123	15.4%
states	744	10.2%
bangladesh	487	6.7%
india	436	6.0%
kingdom	352	4.8%
nigeria	144	2.0%
germany	123	1.7%
sri	123	1.7%
lanka	123	1.7%
Other values (118)	2200	30.2%

Most occurring characters

Value	Count	Frequency (%)
a	7856	15.2%
n	5424	10.5%
i	5044	9.8%
t	4551	8.8%
e	3933	7.6%
s	3051	5.9%
d	2847	5.5%
k	1740	3.4%
P	1575	3.1%
	1375	2.7%
Other values (42)	14175	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	51571	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	7856	15.2%
n	5424	10.5%
i	5044	9.8%
t	4551	8.8%
e	3933	7.6%
s	3051	5.9%
d	2847	5.5%
k	1740	3.4%
P	1575	3.1%
	1375	2.7%
Other values (42)	14175	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	51571	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	7856	15.2%
n	5424	10.5%
i	5044	9.8%
t	4551	8.8%
e	3933	7.6%
s	3051	5.9%
d	2847	5.5%
k	1740	3.4%
P	1575	3.1%
	1375	2.7%
Other values (42)	14175	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	51571	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	7856	15.2%
n	5424	10.5%
i	5044	9.8%
t	4551	8.8%
e	3933	7.6%
s	3051	5.9%
d	2847	5.5%
k	1740	3.4%
P	1575	3.1%
	1375	2.7%
Other values (42)	14175	27.5%

Member Since
Date

MISSING

Distinct	149
Distinct (%)	3.4%
Missing	1571
Missing (%)	26.5%
Memory size	92.5 KiB

Minimum	2011-03-01 00:00:00
Maximum	2024-05-01 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Avg Response Time
Real number (ℝ)

MISSING

Distinct	34
Distinct (%)	0.8%
Missing	1685
Missing (%)	28.5%
Infinite	0
Infinite (%)	0.0%
Mean	4.4798206

Minimum	1
Maximum	696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	13
Maximum	696
Range	695
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	18.708852
Coefficient of variation (CV)	4.1762502
Kurtosis	531.12124
Mean	4.4798206
Median Absolute Deviation (MAD)	0
Skewness	18.884795
Sum	18981
Variance	350.02113
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
1	2544	43.0%
2	505	8.5%
3	300	5.1%
4	221	3.7%
5	131	2.2%
6	90	1.5%
7	58	1.0%
8	55	0.9%
9	46	0.8%
24	45	0.8%
Other values (24)	242	4.1%
(Missing)	1685	28.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2544	43.0%
2	505	8.5%
3	300	5.1%
4	221	3.7%
5	131	2.2%
6	90	1.5%
7	58	1.0%
8	55	0.9%
9	46	0.8%
10	31	0.5%

Value	Count	Frequency (%)
696	1	< 0.1%
312	1	< 0.1%
288	4	0.1%
264	2	< 0.1%
168	1	< 0.1%
144	6	0.1%
120	1	< 0.1%
96	8	0.1%
72	19	0.3%
48	37	0.6%

Last Delivery
Real number (ℝ)

MISSING ZEROS

Distinct	26
Distinct (%)	0.6%
Missing	1574
Missing (%)	26.6%
Infinite	0
Infinite (%)	0.0%
Mean	21.388454

Minimum	0
Maximum	1095
Zeros	1273
Zeros (%)	21.5%
Negative	0
Negative (%)	0.0%
Memory size	92.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	7
95-th percentile	150
Maximum	1095
Range	1095
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	64.899077
Coefficient of variation (CV)	3.0343042
Kurtosis	46.444921
Mean	21.388454
Median Absolute Deviation (MAD)	2
Skewness	5.650627
Sum	92997
Variance	4211.8902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	1273	21.5%
1	605	10.2%
7	450	7.6%
2	373	6.3%
3	261	4.4%
30	210	3.5%
14	209	3.5%
4	185	3.1%
5	145	2.4%
21	139	2.3%
Other values (16)	498	8.4%
(Missing)	1574	26.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1273	21.5%
1	605	10.2%
2	373	6.3%
3	261	4.4%
4	185	3.1%
5	145	2.4%
6	67	1.1%
7	450	7.6%
14	209	3.5%
21	139	2.3%

Value	Count	Frequency (%)
1095	1	< 0.1%
730	6	0.1%
365	36	0.6%
360	1	< 0.1%
330	15	0.3%
300	22	0.4%
270	10	0.2%
240	23	0.4%
210	50	0.8%
180	23	0.4%

Order in Queue
Real number (ℝ)

ZEROS

Distinct	52
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5121581

Minimum	0
Maximum	215
Zeros	3761
Zeros (%)	63.5%
Negative	0
Negative (%)	0.0%
Memory size	69.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	215
Range	215
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	5.8154879
Coefficient of variation (CV)	3.8458201
Kurtosis	530.18101
Mean	1.5121581
Median Absolute Deviation (MAD)	0
Skewness	18.543462
Sum	8955
Variance	33.819899
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3761	63.5%
1	822	13.9%
2	443	7.5%
3	249	4.2%
4	159	2.7%
5	109	1.8%
6	85	1.4%
7	50	0.8%
8	44	0.7%
11	31	0.5%
Other values (42)	169	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3761	63.5%
1	822	13.9%
2	443	7.5%
3	249	4.2%
4	159	2.7%
5	109	1.8%
6	85	1.4%
7	50	0.8%
8	44	0.7%
9	20	0.3%

Value	Count	Frequency (%)
215	1	< 0.1%
164	1	< 0.1%
161	1	< 0.1%
82	1	< 0.1%
76	1	< 0.1%
72	1	< 0.1%
63	1	< 0.1%
56	2	< 0.1%
54	1	< 0.1%
52	1	< 0.1%

is_single_plan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.0 KiB

False	5249
True	673

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	5249	88.6%
True	673	11.4%

Arabic
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5666
1	256

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Most occurring characters

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5666	95.7%
1	256	4.3%

Bengali
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5652
1	270

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Most occurring characters

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5652	95.4%
1	270	4.6%

Chinese
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5814
1	108

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5814	98.2%
1	108	1.8%

Dutch
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5831
1	91

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5831	98.5%
1	91	1.5%

English
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

1	5867
0	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5867	99.1%
0	55	0.9%

French
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5066
1	856

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

Most occurring characters

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5066	85.5%
1	856	14.5%

German
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5152
1	770

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Most occurring characters

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5152	87.0%
1	770	13.0%

Hebrew
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5855
1	67

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5855	98.9%
1	67	1.1%

Hindi
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5365
1	557

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Most occurring characters

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5365	90.6%
1	557	9.4%

Indonesian
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5839
1	83

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5839	98.6%
1	83	1.4%

Italian
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5648
1	274

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Most occurring characters

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5648	95.4%
1	274	4.6%

Portuguese
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5763
1	159

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5763	97.3%
1	159	2.7%

Punjabi
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5799
1	123

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5799	97.9%
1	123	2.1%

Russian
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5710
1	212

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5710	96.4%
1	212	3.6%

Spanish
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	4744
1	1178

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Most occurring characters

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4744	80.1%
1	1178	19.9%

Turkish
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5848
1	74

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5848	98.8%
1	74	1.2%

Ukrainian
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5806
1	116

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5806	98.0%
1	116	2.0%

Urdu
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.5 KiB

0	5100
1	822

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Most occurring characters

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5100	86.1%
1	822	13.9%

Auto

Heatmap
Table

	Arabic	Avg Response Time	Basic Delivery	Basic Price	Basic Revision	Bengali	Category	Chinese	Dutch	English	Field	French	German	Hebrew	Hindi	Indonesian	Italian	Last Delivery	Order in Queue	Portuguese	Premium Delivery	Premium Price	Premium Revision	Punjabi	Rating	Rating Count	Russian	Seller In Same Level	Seller Level	Spanish	Standard Delivery	Standard Price	Standard Revision	Turkish	Ukrainian	Urdu	is_single_plan
Arabic	1.000	-0.061	-0.064	-0.044	-0.021	0.010	0.090	0.000	0.000	0.000	0.123	0.183	0.000	0.000	0.027	0.018	0.030	0.002	-0.035	0.030	-0.036	-0.032	-0.032	0.021	-0.036	-0.029	0.010	0.061	0.086	0.004	-0.043	-0.037	-0.016	0.000	0.024	0.059	0.000
Avg Response Time	-0.061	1.000	0.198	0.157	0.019	0.000	0.028	0.000	0.000	0.000	0.054	0.000	0.000	0.000	0.000	0.000	0.000	0.130	-0.054	0.112	0.122	0.088	0.032	0.000	0.098	0.016	0.000	-0.067	0.088	0.042	0.158	0.112	0.013	0.000	0.000	0.000	0.044
Basic Delivery	-0.064	0.198	1.000	0.536	0.064	0.039	0.093	0.000	0.000	0.000	0.138	0.023	0.025	0.000	0.051	0.000	0.024	0.058	0.057	0.032	0.680	0.414	0.066	0.000	0.127	0.007	0.000	-0.145	0.087	0.028	0.842	0.477	0.062	0.000	0.000	0.042	0.102
Basic Price	-0.044	0.157	0.536	1.000	0.134	0.000	0.031	0.000	0.000	0.000	0.064	0.036	0.000	0.000	0.008	0.000	0.000	0.157	-0.082	0.000	0.456	0.815	0.151	0.000	0.198	-0.143	0.034	-0.283	0.036	0.033	0.520	0.902	0.143	0.003	0.000	0.038	0.061
Basic Revision	-0.021	0.019	0.064	0.134	1.000	0.000	0.057	0.000	0.012	0.000	0.112	0.000	0.028	0.000	0.016	0.000	0.002	-0.006	0.071	0.008	0.055	0.098	0.902	0.000	0.021	0.112	0.000	0.059	0.000	0.026	0.063	0.112	0.955	0.000	0.000	0.027	0.305
Bengali	0.010	0.000	0.039	0.000	0.000	1.000	0.159	0.016	0.012	0.011	0.262	0.055	0.004	0.079	0.222	0.019	0.036	-0.044	0.042	0.031	0.012	-0.019	-0.033	0.026	-0.085	0.026	0.033	0.081	0.043	0.032	-0.020	-0.040	-0.024	0.016	0.025	0.057	0.042
Category	0.090	0.028	0.093	0.031	0.057	0.159	1.000	0.093	0.048	0.057	0.998	0.110	0.113	0.046	0.189	0.102	0.075	0.065	0.123	0.079	0.040	0.029	0.299	0.098	0.064	0.110	0.108	0.145	0.053	0.079	0.050	0.026	0.298	0.046	0.096	0.284	0.221
Chinese	0.000	0.000	0.000	0.000	0.000	0.016	0.093	1.000	0.000	0.000	0.116	0.018	0.000	0.000	0.040	0.029	0.024	0.014	-0.030	0.013	-0.037	-0.015	0.015	0.008	0.015	-0.019	0.000	0.002	0.018	0.029	-0.028	-0.017	0.015	0.000	0.000	0.000	0.000
Dutch	0.000	0.000	0.000	0.000	0.012	0.012	0.048	0.000	1.000	0.000	0.078	0.074	0.104	0.000	0.031	0.000	0.000	-0.007	0.003	0.000	-0.011	0.009	0.001	0.003	0.019	0.002	0.000	-0.011	0.019	0.030	-0.001	0.018	-0.001	0.000	0.000	0.025	0.033
English	0.000	0.000	0.000	0.000	0.000	0.011	0.057	0.000	0.000	1.000	0.052	0.018	0.021	0.000	0.025	0.000	0.000	-0.065	0.023	0.000	0.020	0.015	0.042	0.000	-0.012	0.049	0.000	-0.005	0.045	0.000	0.021	0.012	0.048	0.000	0.000	0.028	0.000
Field	0.123	0.054	0.138	0.064	0.112	0.262	0.998	0.116	0.078	0.052	1.000	0.160	0.167	0.089	0.199	0.125	0.105	-0.059	0.137	0.129	0.003	-0.015	0.026	0.109	-0.022	0.132	0.186	0.212	0.062	0.174	-0.004	-0.025	0.041	0.088	0.129	0.310	0.405
French	0.183	0.000	0.023	0.036	0.000	0.055	0.110	0.018	0.074	0.018	0.160	1.000	0.314	0.000	0.078	0.037	0.083	-0.031	0.010	0.000	-0.015	-0.014	-0.014	0.053	-0.058	-0.011	0.017	0.096	0.066	0.273	-0.036	-0.033	-0.004	0.005	0.055	0.057	0.007
German	0.000	0.000	0.025	0.000	0.028	0.004	0.113	0.000	0.104	0.021	0.167	0.314	1.000	0.000	0.081	0.000	0.048	-0.065	0.043	0.000	-0.010	-0.013	-0.041	0.049	-0.054	0.004	0.000	0.082	0.047	0.233	-0.016	-0.019	-0.033	0.023	0.020	0.073	0.000
Hebrew	0.000	0.000	0.000	0.000	0.000	0.079	0.046	0.000	0.000	0.000	0.089	0.000	0.000	1.000	0.025	0.000	0.000	-0.001	0.003	0.000	0.025	0.024	-0.002	0.000	-0.029	-0.009	0.013	-0.001	0.000	0.000	0.009	0.019	-0.006	0.000	0.000	0.039	0.000
Hindi	0.027	0.000	0.051	0.008	0.016	0.222	0.189	0.040	0.031	0.025	0.199	0.078	0.081	0.025	1.000	0.034	0.060	-0.011	-0.007	0.046	0.014	0.013	0.005	0.166	-0.046	-0.008	0.059	0.051	0.012	0.092	-0.005	-0.002	0.014	0.025	0.041	0.167	0.000
Indonesian	0.018	0.000	0.000	0.000	0.000	0.019	0.102	0.029	0.000	0.000	0.125	0.037	0.000	0.000	0.034	1.000	0.009	-0.036	0.033	0.008	-0.017	-0.071	0.029	0.000	0.005	0.045	0.014	-0.004	0.029	0.052	-0.011	-0.072	0.037	0.014	0.000	0.044	0.019
Italian	0.030	0.000	0.024	0.000	0.002	0.036	0.075	0.024	0.000	0.000	0.105	0.083	0.048	0.000	0.060	0.009	1.000	0.038	0.010	0.016	-0.001	-0.005	0.012	0.026	0.021	-0.005	0.000	0.014	0.032	0.134	-0.003	-0.006	0.004	0.005	0.000	0.072	0.000
Last Delivery	0.002	0.130	0.058	0.157	-0.006	-0.044	0.065	0.014	-0.007	-0.065	-0.059	-0.031	-0.065	-0.001	-0.011	-0.036	0.038	1.000	-0.492	0.007	0.057	0.136	0.016	0.017	0.094	-0.441	0.035	0.088	0.202	0.000	0.062	0.142	0.004	0.000	0.016	0.000	0.052
Order in Queue	-0.035	-0.054	0.057	-0.082	0.071	0.042	0.123	-0.030	0.003	0.023	0.137	0.010	0.043	0.003	-0.007	0.033	0.010	-0.492	1.000	0.000	0.072	-0.044	0.049	0.041	-0.096	0.436	0.000	0.023	0.057	0.006	0.074	-0.056	0.055	0.000	0.000	0.000	0.000
Portuguese	0.030	0.112	0.032	0.000	0.008	0.031	0.079	0.013	0.000	0.000	0.129	0.000	0.000	0.000	0.046	0.008	0.016	0.007	0.000	1.000	-0.021	-0.014	0.033	0.016	0.017	0.022	0.026	-0.004	0.025	0.151	-0.014	-0.017	0.030	0.006	0.015	0.055	0.000
Premium Delivery	-0.036	0.122	0.680	0.456	0.055	0.012	0.040	-0.037	-0.011	0.020	0.003	-0.015	-0.010	0.025	0.014	-0.017	-0.001	0.057	0.072	-0.021	1.000	0.593	0.081	0.032	0.090	-0.032	0.009	-0.069	0.071	0.032	0.918	0.566	0.080	0.000	0.000	0.046	0.110
Premium Price	-0.032	0.088	0.414	0.815	0.098	-0.019	0.029	-0.015	0.009	0.015	-0.015	-0.014	-0.013	0.024	0.013	-0.071	-0.005	0.136	-0.044	-0.014	0.593	1.000	0.128	0.000	0.145	-0.121	0.013	-0.227	0.045	0.022	0.559	0.960	0.122	0.000	0.000	0.000	0.043
Premium Revision	-0.032	0.032	0.066	0.151	0.902	-0.033	0.299	0.015	0.001	0.042	0.026	-0.014	-0.041	-0.002	0.005	0.029	0.012	0.016	0.049	0.033	0.081	0.128	1.000	0.000	0.043	0.089	0.000	0.028	0.000	0.026	0.082	0.140	0.935	0.000	0.000	0.027	0.305
Punjabi	0.021	0.000	0.000	0.000	0.000	0.026	0.098	0.008	0.003	0.000	0.109	0.053	0.049	0.000	0.166	0.000	0.026	0.017	0.041	0.016	0.032	0.000	0.000	1.000	-0.020	0.007	0.021	0.015	0.008	0.061	-0.028	-0.013	-0.004	0.000	0.010	0.306	0.000
Rating	-0.036	0.098	0.127	0.198	0.021	-0.085	0.064	0.015	0.019	-0.012	-0.022	-0.058	-0.054	-0.029	-0.046	0.005	0.021	0.094	-0.096	0.017	0.090	0.145	0.043	-0.020	1.000	-0.061	0.000	-0.112	0.061	0.000	0.113	0.166	0.019	0.000	0.000	0.000	0.058
Rating Count	-0.029	0.016	0.007	-0.143	0.112	0.026	0.110	-0.019	0.002	0.049	0.132	-0.011	0.004	-0.009	-0.008	0.045	-0.005	-0.441	0.436	0.022	-0.032	-0.121	0.089	0.007	-0.061	1.000	0.000	-0.022	0.101	0.038	-0.016	-0.128	0.099	0.000	0.000	0.000	0.044
Russian	0.010	0.000	0.000	0.034	0.000	0.033	0.108	0.000	0.000	0.000	0.186	0.017	0.000	0.013	0.059	0.014	0.000	0.035	0.000	0.026	0.009	0.013	0.000	0.021	0.000	0.000	1.000	-0.041	0.011	0.026	0.018	0.018	-0.004	0.038	0.330	0.064	0.024
Seller In Same Level	0.061	-0.067	-0.145	-0.283	0.059	0.081	0.145	0.002	-0.011	-0.005	0.212	0.096	0.082	-0.001	0.051	-0.004	0.014	0.088	0.023	-0.004	-0.069	-0.227	0.028	0.015	-0.112	-0.022	-0.041	1.000	0.273	0.000	-0.104	-0.252	0.050	0.000	0.010	0.078	0.179
Seller Level	0.086	0.088	0.087	0.036	0.000	0.043	0.053	0.018	0.019	0.045	0.062	0.066	0.047	0.000	0.012	0.029	0.032	0.202	0.057	0.025	0.071	0.045	0.000	0.008	0.061	0.101	0.011	0.273	1.000	0.058	0.148	0.200	0.010	0.020	0.037	0.062	0.043
Spanish	0.004	0.042	0.028	0.033	0.026	0.032	0.079	0.029	0.030	0.000	0.174	0.273	0.233	0.000	0.092	0.052	0.134	0.000	0.006	0.151	0.032	0.022	0.026	0.061	0.000	0.038	0.026	0.000	0.058	1.000	-0.021	-0.029	0.032	0.020	0.036	0.104	0.000
Standard Delivery	-0.043	0.158	0.842	0.520	0.063	-0.020	0.050	-0.028	-0.001	0.021	-0.004	-0.036	-0.016	0.009	-0.005	-0.011	-0.003	0.062	0.074	-0.014	0.918	0.559	0.082	-0.028	0.113	-0.016	0.018	-0.104	0.148	-0.021	1.000	0.581	0.081	0.000	0.000	0.028	0.068
Standard Price	-0.037	0.112	0.477	0.902	0.112	-0.040	0.026	-0.017	0.018	0.012	-0.025	-0.033	-0.019	0.019	-0.002	-0.072	-0.006	0.142	-0.056	-0.017	0.566	0.960	0.140	-0.013	0.166	-0.128	0.018	-0.252	0.200	-0.029	0.581	1.000	0.131	0.000	0.000	0.022	0.046
Standard Revision	-0.016	0.013	0.062	0.143	0.955	-0.024	0.298	0.015	-0.001	0.048	0.041	-0.004	-0.033	-0.006	0.014	0.037	0.004	0.004	0.055	0.030	0.080	0.122	0.935	-0.004	0.019	0.099	-0.004	0.050	0.010	0.032	0.081	0.131	1.000	0.000	0.000	0.027	0.305
Turkish	0.000	0.000	0.000	0.003	0.000	0.016	0.046	0.000	0.000	0.000	0.088	0.005	0.023	0.000	0.025	0.014	0.005	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.000	0.000	0.038	0.000	0.020	0.020	0.000	0.000	0.000	1.000	0.000	0.027	0.005
Ukrainian	0.024	0.000	0.000	0.000	0.000	0.025	0.096	0.000	0.000	0.000	0.129	0.055	0.020	0.000	0.041	0.000	0.000	0.016	0.000	0.015	0.000	0.000	0.000	0.010	0.000	0.000	0.330	0.010	0.037	0.036	0.000	0.000	0.000	0.000	1.000	0.053	0.000
Urdu	0.059	0.000	0.042	0.038	0.027	0.057	0.284	0.000	0.025	0.028	0.310	0.057	0.073	0.039	0.167	0.044	0.072	0.000	0.000	0.055	0.046	0.000	0.027	0.306	0.000	0.000	0.064	0.078	0.062	0.104	0.028	0.022	0.027	0.027	0.053	1.000	0.011
is_single_plan	0.000	0.044	0.102	0.061	0.305	0.042	0.221	0.000	0.033	0.000	0.405	0.007	0.000	0.000	0.000	0.019	0.000	0.052	0.000	0.000	0.110	0.043	0.305	0.000	0.058	0.044	0.024	0.179	0.043	0.000	0.068	0.046	0.305	0.005	0.000	0.011	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Category	Field	Seller Level	Seller In Same Level	Basic Price	Standard Price	Premium Price	Basic Delivery	Standard Delivery	Premium Delivery	Basic Revision	Standard Revision	Premium Revision	Rating	Rating Count	Country	Member Since	Avg Response Time	Last Delivery	is_single_plan	Bengali	English	French	Urdu
0	Data	data-engineering	2	293	447.76	626.86	891.04	7	14	14	2	2	2	5.0	3.0	Pakistan	NaN	NaN	NaN	False	0	1	0	1
1	Data	data-engineering	2	293	250.00	450.00	950.00	3	5	7	1	2	5	5.0	5.0	Pakistan	NaN	NaN	NaN	False	0	1	0	1
2	Data	data-engineering	2	293	50.00	100.00	150.00	1	3	5	0	1	2	5.0	12.0	Pakistan	NaN	NaN	NaN	False	0	1	0	1
3	Data	data-engineering	2	293	120.00	200.00	400.00	2	3	10	1	2	2	5.0	13.0	United States	NaN	NaN	NaN	False	0	1	0	0
4	Data	data-engineering	2	293	100.00	300.00	450.00	7	10	7	1	1	2	4.6	8.0	United Kingdom	NaN	NaN	NaN	False	0	1	0	0
5	Data	data-engineering	2	293	30.00	50.00	95.00	1	2	3	1	1	2	4.9	22.0	Pakistan	NaN	NaN	NaN	False	0	1	1	1
6	Data	data-engineering	2	293	80.00	160.00	300.00	3	7	14	3	3	3	5.0	19.0	Bangladesh	NaN	NaN	NaN	False	1	1	0	0
7	Data	data-engineering	2	293	100.00	2000.00	10000.00	1	2	3	2	3	7	5.0	10.0	Pakistan	NaN	NaN	NaN	False	0	1	0	0
8	Data	data-engineering	2	293	200.00	300.00	400.00	7	14	21	1	2	3	5.0	2.0	United States	NaN	NaN	NaN	False	0	1	0	0
9	Data	data-engineering	2	293	100.00	100.00	100.00	5	5	5	1	1	1	5.0	5.0	Pakistan	NaN	NaN	NaN	True	0	1	0	1

	Category	Field	Seller Level	Seller In Same Level	Basic Price	Standard Price	Premium Price	Basic Delivery	Standard Delivery	Premium Delivery	Basic Revision	Standard Revision	Premium Revision	Rating	Rating Count	Country	Member Since	Avg Response Time	Last Delivery	Order in Queue	is_single_plan	English	French	German	Spanish	Urdu
6245	Business	software-management	4	55	150.0	1500.0	3000.0	1	3	7	-1	-1	-1	4.8	20.0	Canada	2020-12-01	1.0	3.0	0	False	1	1	0	0	0
6246	Business	software-management	4	55	50.0	350.0	650.0	2	4	6	-1	-1	-1	5.0	9.0	Pakistan	2018-10-01	1.0	0.0	0	False	1	1	1	1	0
6247	Business	software-management	4	55	70.0	130.0	180.0	10	10	10	-1	-1	-1	5.0	24.0	South Africa	2020-08-01	2.0	2.0	0	False	1	0	0	0	0
6248	Business	software-management	4	55	115.0	155.0	185.0	10	10	10	-1	-1	-1	5.0	15.0	South Africa	2020-08-01	2.0	2.0	0	False	1	0	0	0	0
6249	Business	software-management	4	55	500.0	1250.0	3250.0	10	10	14	-1	-1	-1	5.0	21.0	Germany	2020-07-01	3.0	4.0	0	False	1	0	0	0	0
6254	Business	software-management	4	55	15.0	60.0	90.0	10	10	10	-1	-1	-1	5.0	4.0	Mexico	2015-04-01	8.0	0.0	0	False	1	0	0	1	0
6255	Business	software-management	4	55	250.0	250.0	250.0	10	10	10	-1	-1	-1	5.0	4.0	Pakistan	2018-09-01	1.0	6.0	0	True	1	0	0	0	1
6256	Business	software-management	4	55	115.0	155.0	185.0	10	10	10	-1	-1	-1	5.0	128.0	South Africa	2020-08-01	2.0	2.0	0	False	1	0	0	0	0
6260	Business	software-management	4	55	50.0	50.0	50.0	21	21	21	-1	-1	-1	5.0	36.0	Bangladesh	2015-03-01	1.0	7.0	0	True	1	0	0	0	0
6261	Business	software-management	4	55	150.0	1200.0	2250.0	5	14	30	-1	-1	-1	5.0	175.0	Canada	2020-12-01	1.0	3.0	3	False	1	1	0	0	0

Most frequently occurring

	Category	Field	Seller Level	Seller In Same Level	Basic Price	Standard Price	Premium Price	Basic Delivery	Standard Delivery	Premium Delivery	Basic Revision	Standard Revision	Premium Revision	Rating	Rating Count	Country	Member Since	Avg Response Time	Last Delivery	Order in Queue	is_single_plan	English	Punjabi	Russian	Spanish	Urdu	# duplicates
0	Business	sales	4	35	10.0	50.0	180.0	2	2	2	-1	-1	-1	4.9	219.0	United States	2017-01-01	2.0	0.0	0	False	1	0	0	0	0	2
1	Business	sales	4	35	15.0	50.0	120.0	1	2	4	-1	-1	-1	4.9	341.0	Pakistan	2020-02-01	1.0	0.0	2	False	1	1	0	0	1	2
2	Business	sales	4	35	20.0	35.0	45.0	2	2	2	-1	-1	-1	5.0	331.0	United States	2017-01-01	2.0	0.0	0	False	1	0	0	0	0	2
3	Business	software-management	2	502	65.0	400.0	530.0	4	10	14	-1	-1	-1	4.9	79.0	Argentina	2021-06-01	3.0	14.0	1	False	1	0	0	1	0	2
4	Data	data-mining	4	65	30.0	30.0	30.0	2	2	2	100	100	100	5.0	71.0	United States	2020-12-01	7.0	0.0	1	True	1	0	0	1	0	2
5	Data	databases	2	608	5.0	20.0	60.0	1	2	5	2	3	3	4.8	2.0	Kenya	NaN	NaN	NaN	0	False	1	0	0	0	0	2
6	Data	databases	4	22	300.0	450.0	600.0	14	14	14	-1	-1	-1	NaN	36.0	Cyprus	NaN	NaN	NaN	0	False	1	0	1	0	0	2
7	Digital Marketing	social-marketing	4	459	65.0	115.0	145.0	4	4	5	-1	-1	-1	5.0	553.0	Ireland	2017-10-01	2.0	0.0	7	False	1	0	0	0	0	2
8	Graphics & Design	fashion-design	4	172	5.0	5.0	5.0	3	3	3	2	2	2	5.0	417.0	Indonesia	2016-07-01	1.0	0.0	3	True	1	0	0	0	0	2
9	Graphics & Design	social-media-design	4	258	50.0	50.0	50.0	2	2	2	5	5	5	5.0	5291.0	Romania	2013-10-01	4.0	0.0	4	True	1	0	0	0	0	2

Overview

Variables

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Length

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Length

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(unknown)

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Most frequent character per block

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Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters